How do States Inform Nurses of Their Policies for Mandatory Reporting of Child Maltreatment?

Every state includes nurses as mandated reporters of suspected child maltreatment, and each state has its own law and policy regarding what is reportable and reporting requirements. These differences mean that generic training on child abuse and reporting needs to be augmented by practical state-specific information. In nearly every study of nurses, participants report having inadequate child abuse training. This paper presents an analysis of the information states post on their websites to educate nurses to appropriately identify and report suspected child abuse or neglect. Specifically, this study aims to answer the following questions: (1) how do mandated reporting laws that apply to nurses vary by state, (2) what information do states provide on their child protection and Board of Nursing websites about child maltreatment and mandatory reporting, and (3) what training resources do states make available on their websites to educate nurse mandatory reporters to ably fulfill their obligation? Data on state-by-state practices regarding mandated reporting of child abuse were gathered from the Rape, Abuse, & Incest National Network (RAINN) database, review of state statutes, Child Welfare Information Gateway, Board of Nursing sites, and the Nursing Licensure Compact (NLC) website. This analysis found that states provide little guidance or education about their child maltreatment laws, and few have resources targeted for nurses. Given rising membership in the NLC it is critical for nurses to have education about state specific mandated reporting requirements. States should consider adding mandatory reporting training as a requirement for licensure and for continuing education.

Can disability accommodation needs stored in electronic health records help providers prepare for patient visits? A qualitative study.

BACKGROUND: Embedding patient accommodation need in the electronic health record (EHR) has been proposed as one means to improve health care delivery to patients with disabilities. Accommodation need is not a standard field in commercial EHR software. However, some medical practices ask about accommodation need and store it in the EHR. Little is known about how the information is used, or barriers to its use. This exploratory-descriptive study examines whether and how information about patients' disability-related accommodation needs stored in patient records is used in a primary health care center to plan for care. METHODS: Four focus groups (n = 35) were conducted with staff of a Federally Qualified Health Center that asks four accommodation questions at intake for the EHR. Respondents were asked how they learned about patient accommodation need, whether and how they used the information in the EHR, barriers to its use, and recommendations for where accommodation information should reside. A brief semi-structured interview was conducted with patients who had indicated an accommodation need (n = 12) to learn their experience at their most recent appointment. The qualitative data were coded using structural coding and themes extracted. RESULTS: Five themes were identified from the focus groups: (1) staff often do not know accommodation needs before the patient's arrival; (2) electronic patient information systems offer helpful information, but their structure creates challenges and information gaps; (3) accommodations for a patient's disability occur, but are developed at the time of visit; (4) provider knowledge of a regular patient is often the basis for accommodation preparation; and (5) staff recognize benefits to advance knowledge of accommodation needs and are supportive of methods to enable it. Most patients did not recall indicating accommodation need on the intake form. However, they expected to be accommodated based upon the medical practice's knowledge of them. CONCLUSIONS: Patient accommodation information in the EHR can be useful for visit planning. However, the structure must enable transfer of information between scheduling and direct care and be updatable as needs change. Flexibility to record a variety of needs, visibility to differentiate accommodation need from other alerts, and staff education about needs were recommended.

Accessible medical diagnostic equipment in primary care: Assessing its geographic distribution for disability equity.

BACKGROUND: Height adjustable examination tables, accessible weight scales, and lifts for transferring individuals on/off examination equipment enable delivery of equitable health care to persons with mobility impairment. Because most Medicaid-covered patients must utilize a managed care network, network providers with accessible medical diagnostic equipment (MDE) at proximate locations for travel time and distance are necessary. Network density and distribution of accessible MDE has not been studied. OBJECTIVE: This descriptive research examined geographic network adequacy by comparing the density of persons with mobility impairments and location of Medicaid managed care practices with accessible MDE in Los Angeles County. METHODS: Medicaid managed care practices with MDE were mapped by ZIP Codes shaded to indicate the number of persons with mobility impairment. Zero-inflated negative binomial regression examined ZIP Code population characteristics as potential predictors of accessible MDE presence. Data sources were: (1) 2013-2016 primary care facility audit of Medicaid managed care network providers in LA County, aggregated by ZIP Code, and (2) LA County ZIP Code characteristics from the 2016 American Community Survey. ArcGIS was used for mapping and MPlus for the regression analysis. RESULTS: No consistent association between the size of the mobility limited population, demographic characteristics, and presence of accessible MDE was observed or measured by regression. The observed low MDE density suggests network adequacy likely is not achieved in LA County. CONCLUSIONS: Actions by state and federal agencies are necessary to increase accessible MDE and network adequacy by enforcing existing non-discrimination law and Medicaid regulations.